Denigma

Longevity Variant Database

Narrow results by variant, study, or associated fields (e.g. gene symbol ADRB2):

Use ontology terms to further narrow results (e.g. aging, insulin, etc.):

  • Variant effect: + -
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  • Study type: + -
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  • Variant type: + -
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    Populations | Study Types | Variant Types


    LVDB_word_cloud.png
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    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs3779501 PIK3CG — 0.139 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2511837 CBL — 0.14 212 vs 398 — Japanese 95+ — — Candidate Region/Gene 23770741
    rs8192291 SOD3 — 0.144 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs3176349 CDKN1A 0.53 0.148 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs1042713 ADRB2 — 0.149 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs5749998 MAPK1 — 0.152 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs361525 TNFa — 0.156 See Description for details — Italian Comparison 1: 66-91. Comparison 2: >88 — — Candidate Region/Gene 21865054
    rs3829967 CDKN1A 1.31 0.16 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs1776180 EXO1 — 0.16 206 vs 401 — Japanese 95+ — — Candidate Region/Gene 23770741
    rs2241766 ADIPQO — 0.164 110 vs 120 — Jordanian mean age 90.2 years G T Candidate Region/Gene 20201642
    rs3745546 INSR — 0.168 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs1800629 TNFa — 0.168 See Description for details — Italian Comparison 1: 66-91. Comparison 2: >88 — — Candidate Region/Gene 21865054
    rs610932 MS4A6A — 0.176 1364 — American, British Age range 50-108; mean age at death 80.2 C A Candidate Region/Gene 22445811
    rs4420638 — 0.85 0.176 597 vs 1275 — Sichuan 90+ — — Candidate Region/Gene 24924924
    rs2721047 FOXO1A 0.98 0.177 1447 vs 1029 (initial) 166 vs 216 (Italian) (replication) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2984121 FOXO1 1.05 0.178 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs1815274 JUN — 0.18 212 vs 401 — Japanese 95+ — — Candidate Region/Gene 23770741
    rs1321312 CDKN1A 0.75 0.181 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs8031 SOD2 — 0.186 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs10947623 CDKN1A 1.37 0.199 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs7547654 FOXO6 1.08 0.2 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs1799817 INSR — 0.205 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs1892848 MAPK1 — 0.218 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs5999521 MAPK1 — 0.218 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs2853826 MT-ND3 — 0.219 98 vs 117 — Chinese 90–100 A — Candidate Region/Gene 18759861

    The Longevity Variant Database (LVDB) is a collaborative effort to catalogue all published genetic variants relevant to human longevity.

    The project is directed by the Health Extension Research Foundation [http://www.healthextension.co/about/], and the online content is managed by the members of the Global Computing Initiative.

    LVDB is driven by an international collaboration of scientists, programmers, and volunteers, including Joe Betts-LaCroix, Kristen Fortney, Daniel Wuttke, Eric K. Morgen, Nick Schaum, John M. Adams, Jessica Choi, Barry Goldberg, Amir Levine, Maria Litovchenko, Aiste Narkeviciute, Emily Quist, Navneet Ramesh, Justin Rebo, Dmitri Shytikov, and Jimi Vyas. o

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